Bulbasauli

Bulbasauli — CS2 Stats

FI76561199237789039[U:1:1277523311]Steam profile ↗✓ No bans

1,629Tracked matches57%Win rate2022Tracked since
1,313Hours in CS1Hrs last 2 wks
CSDB Rating6.2 SolidAll-Rounder
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,830 +786 17 Feb – 10 Jun · 15 days played
10,65012,830peak 12,83017 Feb10 Jun
12,942Peak Premier in tracked matches
32Days played since 2026-02-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim69
Positioning53
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY41–50–9Last 10041%Win rateLLLTWWWWWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +0.2pp headshot accuracy · +72ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 33%
  • Avg reaction 642ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 30%
  • Avg reaction 622ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 30%
  • Avg reaction 586ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.9
Utility5.5
Positioning5.3
Opening Duels3.7

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 54% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 647ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.9
Positioning5.3
Utility5.5
Mechanics8.0
Opening Duels3.1
Win Impact7.4

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time605ms−43ms
first ⅓ avg 648ms → last ⅓ avg 605ms
Headshot accuracy31.7%+6.6%
first ⅓ avg 25.1% → last ⅓ avg 31.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.27Best match rating · 9–3 · inferno, 25 Mar →
63%Best headshot accuracy · 7–9 · vertigo, 17 Mar →
367msFastest reaction time · 4–9 · inferno, 5 Mar →
13–2Biggest win · dust2, 17 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
5–10In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 67% over 6vertigoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC3816–2242%0.02
vertigoD164–1225%-0.00
nukeD124–833%-0.01
mirageA116–555%0.03
cacheB84–450%0.02
dust2S64–267%-0.03
overpass—42–250%0.03
ancient—31–233%0.03
office—10–10%-0.01
anubis—10–10%0.06

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,362Lifetime kills
0.90K/D
2,263Matches
41.3%Match win rate
50.2%Headshot % · Top 25% of tracked players
1.4%Shot accuracy
4,870MVPs
742Hours (in match)
2,781Bombs planted
377Bombs defused

Most-used weapons

Lifetime map wins

4,007nuke
3,804inferno
1,575vertigo
1,206dust2
475train
86office
13ar_shoots
8ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

29.7%Headshot accuracy
29.7%Accuracy (enemy spotted)
31.8%Spray accuracy
86.2%Counter-strafing
10.9°Preaim
647msReaction time
30.6%T opening success
54.0%CT opening success
0.53Enemies flashed / flash
4.7%Flash assists
7.26HE damage / grenade
14.44Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.5558% — below the 40% mark we flag

Spend your practice time on Vertigo

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0623%3 Oct →
inferno7–9-0.1141%27 Aug →
inferno4–9-0.1531%17 Aug →
vertigo8–8-0.0830%8 Jul →
inferno9–40.1441%10 Jun →
inferno13–9-0.0130%10 Jun →
dust213–6-0.0518%10 Jun →
dust213–5-0.0237%10 Jun →
inferno9–40.1331%21 May →
cache11–130.0116%21 May →
cache13–110.0126%19 May →
inferno13–10-0.0434%18 May →
inferno9–70.1632%14 May →
vertigo4–9-0.130%13 May →
inferno1–9-0.1925%13 May →
inferno12–12-0.0049%13 May →
cache9–13-0.0130%13 May →
cache13–30.0736%7 May →
inferno7–9-0.1032%7 May →
cache13–80.0633%4 May →
cache13–70.0628%4 May →
cache8–13-0.0221%29 Apr →
vertigo2–9-0.1929%25 Mar →
inferno9–60.0833%25 Mar →
vertigo9–60.0626%25 Mar →
inferno9–30.2741%25 Mar →
nuke2–13-0.0439%24 Mar →
mirage13–110.0223%24 Mar →
dust211–13-0.0731%24 Mar →
nuke6–9-0.0156%24 Mar →
inferno2–9-0.0537%24 Mar →
inferno5–90.0043%24 Mar →
vertigo8–80.1243%24 Mar →
inferno2–90.0329%24 Mar →
vertigo9–40.0935%24 Mar →
inferno8–80.1331%24 Mar →
vertigo8–8-0.0327%23 Mar →
inferno8–8-0.0244%23 Mar →
inferno5–13-0.0117%18 Mar →
nuke13–90.0332%18 Mar →
mirage7–130.0254%17 Mar →
vertigo12–120.0724%17 Mar →
office9–13-0.0145%17 Mar →
dust213–20.0030%17 Mar →
inferno13–80.0718%17 Mar →
nuke13–70.0534%17 Mar →
vertigo7–90.0463%17 Mar →
inferno9–50.0915%17 Mar →
vertigo3–9-0.1323%16 Mar →
inferno3–9-0.2238%16 Mar →
inferno7–90.0628%16 Mar →
vertigo2–90.0042%16 Mar →
overpass13–70.0221%11 Mar →
inferno8–40.1129%11 Mar →
inferno13–30.1350%10 Mar →
inferno9–30.2024%10 Mar →
mirage13–40.0527%9 Mar →
dust210–13-0.0333%9 Mar →
overpass11–130.0221%9 Mar →
ancient11–130.0216%9 Mar →
inferno7–9-0.1117%9 Mar →
mirage3–130.0322%8 Mar →
ancient10–130.0928%8 Mar →
inferno13–6-0.0121%8 Mar →
vertigo3–9-0.1125%8 Mar →
inferno8–80.0641%8 Mar →
nuke0–9-0.1750%8 Mar →
inferno6–90.1034%8 Mar →
vertigo5–90.0123%8 Mar →
inferno8–8-0.0314%8 Mar →
inferno13–70.0232%5 Mar →
vertigo9–50.2039%5 Mar →
inferno4–90.0540%5 Mar →
nuke6–90.0311%5 Mar →
inferno5–9-0.0131%5 Mar →
ancient13–4-0.018%4 Mar →
inferno13–30.1432%4 Mar →
mirage13–40.0432%4 Mar →
overpass13–110.0915%4 Mar →
vertigo9–60.0630%4 Mar →
inferno2–9-0.1823%4 Mar →
mirage13–80.0228%3 Mar →
anubis11–130.0616%26 Feb →
inferno7–13-0.0332%26 Feb →
nuke13–80.1121%24 Feb →
nuke1–9-0.128%24 Feb →
inferno9–60.1930%24 Feb →
mirage4–13-0.0621%24 Feb →
inferno8–130.0227%24 Feb →
mirage8–130.0131%23 Feb →
mirage13–40.0923%23 Feb →
nuke9–130.0311%23 Feb →
nuke7–13-0.0125%22 Feb →
nuke13–60.0548%22 Feb →
vertigo6–9-0.0630%22 Feb →
nuke2–9-0.1029%22 Feb →
mirage9–130.0115%19 Feb →
mirage13–110.0926%19 Feb →
overpass10–13-0.0111%17 Feb →
dust213–70.0130%17 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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